Daniel Votipka

17 papers and 117 indexed citations i.

About

Daniel Votipka is a scholar working on Information Systems, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Daniel Votipka has authored 17 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 6 papers in Signal Processing and 3 papers in Sociology and Political Science. Recurrent topics in Daniel Votipka’s work include Information and Cyber Security (10 papers), Software Engineering Research (7 papers) and Advanced Malware Detection Techniques (6 papers). Daniel Votipka is often cited by papers focused on Information and Cyber Security (10 papers), Software Engineering Research (7 papers) and Advanced Malware Detection Techniques (6 papers). Daniel Votipka collaborates with scholars based in United States, United Kingdom and Italy. Daniel Votipka's co-authors include Michelle L. Mazurek, Elissa M. Redmiles, Patrick Sweeney, Nicolas Christin, Michael Hicks, Timothy Vidas, Gang Wang, Arridhana Ciptadi, Dave Levin and Andrew Ruef and has published in prestigious journals such as Communications of the ACM, IEEE Transactions on Information Forensics and Security and IEEE Security & Privacy.

In The Last Decade

Co-authorship network of co-authors of Daniel Votipka i

Fields of papers citing papers by Daniel Votipka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Votipka. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Votipka. The network helps show where Daniel Votipka may publish in the future.

Countries citing papers authored by Daniel Votipka

Since Specialization
Citations

This map shows the geographic impact of Daniel Votipka's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Votipka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Votipka more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025